Genome-Wide Analysis of Disordered Eating Behavior in the Mexican Population

• Published in: Nutrients 2022-01, Vol.14 (2), p.394
• Main Authors: Martínez-Magaña, José Jaime, Hernandez, Sandra, Garcia, Ana Rosa, Cardoso-Barajas, Valeria, Sarmiento, Emmanuel, Camarena, Beatriz, Caballero, Alejandro, Gonzalez, Laura, Villatoro-Velazquez, Jorge Ameth, Medina-Mora, Maria Elena, Bustos-Gamiño, Marycarmen, Fleiz-Bautista, Clara, Tovilla-Zarate, Carlos Alfonso, Juárez-Rojop, Isela Esther, Nicolini, Humberto, Genis-Mendoza, Alma Delia
• Format: Article
• Language: English
• Subjects: Adipocytes; Adolescent; Adult; Blood; Computer Simulation; DNA - blood; DNA methylation; DNA Methylation - genetics; Domains; Eating behavior; Eating disorders; Epigenetics; Etiology; feeding and eating disorder; Feeding and Eating Disorders - genetics; Feeding Behavior; Female; Food intake; Gene expression; Gene mapping; Genetic diversity; Genetic factors; Genetic Predisposition to Disease - genetics; Genome-wide association studies; Genome-Wide Association Study; Genomes; Genotype & phenotype; Humans; Male; Mendelian Randomization Analysis; Mental disorders; methylation quantitative trait loci; Mexico; Nucleotides; Polymorphism, Single Nucleotide - genetics; Population; Quantitative trait loci; Quantitative Trait Loci - genetics; Risk factors; Single-nucleotide polymorphism; Software; Teenagers; Young Adult
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu14020394

Alterations in eating behavior characterized eating disorders (ED). The genetic factors shared between ED diagnoses have been underexplored. The present study performed a genome-wide association study in individuals with disordered eating behaviors in the Mexican population, blood methylation quantitative trait loci (blood-meQTL), summary data-based Mendelian randomization (SMR) analysis, and in silico function prediction by different algorithms. The analysis included a total of 1803 individuals. We performed a genome-wide association study and blood-meQTL analysis by logistic and linear regression. In addition, we analyzed in silico functional variant prediction, phenome-wide, and multi-tissue expression quantitative trait loci. The genome-wide association study identified 44 single-nucleotide polymorphisms (SNP) associated at a nominal value and seven blood-meQTL at a genome-wide threshold. The SNPs show enrichment in genome-wide associations of the metabolic and immunologic domains. In the in silico analysis, the SNP rs10419198 ( -value = 4.85 × 10 ) located on an enhancer mark could change the expression of in blood, adipocytes, and brain areas that regulate food intake. Additionally, we found an association of DNA methylation levels of ( -value = 6.76 × 10 ) and ( -value = 5.73 × 10 ) by SMR analysis. The present study supports the previous associations of genetic variation in the metabolic domain with ED.